Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Abstract: Surface defect recognition (SDR) with limited data is a common challenge in industrial production. Recent methods generally utilize generative adversarial networks (GANs) to generate defect ...